Overview

Dataset statistics

Number of variables4
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory846.0 B
Average record size in memory40.3 B

Variable types

Categorical1
Text1
Numeric2

Dataset

Description취약노인을 대상으로 하는 노인맞춤돌봄서비스 서비스 수행 광역거점기관 및 자치구별 수행기관 현황 자료임 (작성기준일: 2022. 12. 31.)
URLhttps://www.data.go.kr/data/15082036/fileData.do

Alerts

사회복지사 is highly overall correlated with 생활지원사High correlation
생활지원사 is highly overall correlated with 사회복지사High correlation
수행기관 has unique valuesUnique
생활지원사 has 1 (4.8%) zerosZeros

Reproduction

Analysis started2023-12-12 00:37:48.787165
Analysis finished2023-12-12 00:37:49.719231
Duration0.93 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구별
Categorical

Distinct6
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size300.0 B
서구
7 
동구
4 
중구
4 
대덕구
3 
유성구
2 

Length

Max length5
Median length2
Mean length2.6190476
Min length2

Unique

Unique1 ?
Unique (%)4.8%

Sample

1st row광역기관
2nd row동구
3rd row동구
4th row동구
5th row동구

Common Values

ValueCountFrequency (%)
서구 7
33.3%
동구 4
19.0%
중구 4
19.0%
대덕구 3
14.3%
유성구 2
 
9.5%
광역기관 1
 
4.8%

Length

2023-12-12T09:37:49.803866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:37:49.920188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 7
33.3%
동구 4
19.0%
중구 4
19.0%
대덕구 3
14.3%
유성구 2
 
9.5%
광역기관 1
 
4.8%

수행기관
Text

UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size300.0 B
2023-12-12T09:37:50.141261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length9.3333333
Min length7

Characters and Unicode

Total characters196
Distinct characters58
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row대전광역시사회서비스원
2nd row정다운어르신복지관
3rd row행복한어르신복지관
4th row선우노인복지센터
5th row금성노인복지센터
ValueCountFrequency (%)
대전광역시사회서비스원 1
 
4.3%
재가노인지원센터 1
 
4.3%
법동종합사회복지관 1
 
4.3%
대덕구노인종합복지관 1
 
4.3%
유성구노인복지관 1
 
4.3%
유성노인복지센터 1
 
4.3%
실버누리요양원 1
 
4.3%
관저종합사회복지관 1
 
4.3%
해피존 1
 
4.3%
노인전문요양원 1
 
4.3%
Other values (13) 13
56.5%
2023-12-12T09:37:50.546823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 18
 
9.2%
복 16
 
8.2%
노 13
 
6.6%
인 13
 
6.6%
관 11
 
5.6%
센 9
 
4.6%
터 9
 
4.6%
원 5
 
2.6%
대 5
 
2.6%
서 5
 
2.6%
Other values (48) 92
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 194
99.0%
Space Separator 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 18
 
9.3%
복 16
 
8.2%
노 13
 
6.7%
인 13
 
6.7%
관 11
 
5.7%
센 9
 
4.6%
터 9
 
4.6%
원 5
 
2.6%
대 5
 
2.6%
서 5
 
2.6%
Other values (47) 90
46.4%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 194
99.0%
Common 2
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 18
 
9.3%
복 16
 
8.2%
노 13
 
6.7%
인 13
 
6.7%
관 11
 
5.7%
센 9
 
4.6%
터 9
 
4.6%
원 5
 
2.6%
대 5
 
2.6%
서 5
 
2.6%
Other values (47) 90
46.4%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 194
99.0%
ASCII 2
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 18
 
9.3%
복 16
 
8.2%
노 13
 
6.7%
인 13
 
6.7%
관 11
 
5.7%
센 9
 
4.6%
터 9
 
4.6%
원 5
 
2.6%
대 5
 
2.6%
서 5
 
2.6%
Other values (47) 90
46.4%
ASCII
ValueCountFrequency (%)
2
100.0%

사회복지사
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.952381
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:37:50.684038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median4
Q35
95-th percentile7
Maximum8
Range7
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.9615349
Coefficient of variation (CV)0.49629196
Kurtosis-0.42387969
Mean3.952381
Median Absolute Deviation (MAD)1
Skewness0.46859408
Sum83
Variance3.847619
MonotonicityNot monotonic
2023-12-12T09:37:50.791837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
4 6
28.6%
3 4
19.0%
2 3
14.3%
6 2
 
9.5%
7 2
 
9.5%
1 2
 
9.5%
8 1
 
4.8%
5 1
 
4.8%
ValueCountFrequency (%)
1 2
 
9.5%
2 3
14.3%
3 4
19.0%
4 6
28.6%
5 1
 
4.8%
6 2
 
9.5%
7 2
 
9.5%
8 1
 
4.8%
ValueCountFrequency (%)
8 1
 
4.8%
7 2
 
9.5%
6 2
 
9.5%
5 1
 
4.8%
4 6
28.6%
3 4
19.0%
2 3
14.3%
1 2
 
9.5%

생활지원사
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct19
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean51.380952
Minimum0
Maximum98
Zeros1
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T09:37:50.909626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14
Q133
median60
Q365
95-th percentile80
Maximum98
Range98
Interquartile range (IQR)32

Descriptive statistics

Standard deviation24.994952
Coefficient of variation (CV)0.48646338
Kurtosis-0.44382396
Mean51.380952
Median Absolute Deviation (MAD)19
Skewness-0.34991049
Sum1079
Variance624.74762
MonotonicityNot monotonic
2023-12-12T09:37:51.057642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
65 3
 
14.3%
0 1
 
4.8%
40 1
 
4.8%
79 1
 
4.8%
98 1
 
4.8%
32 1
 
4.8%
33 1
 
4.8%
14 1
 
4.8%
25 1
 
4.8%
16 1
 
4.8%
Other values (9) 9
42.9%
ValueCountFrequency (%)
0 1
4.8%
14 1
4.8%
16 1
4.8%
25 1
4.8%
32 1
4.8%
33 1
4.8%
35 1
4.8%
40 1
4.8%
49 1
4.8%
57 1
4.8%
ValueCountFrequency (%)
98 1
 
4.8%
80 1
 
4.8%
79 1
 
4.8%
73 1
 
4.8%
66 1
 
4.8%
65 3
14.3%
64 1
 
4.8%
63 1
 
4.8%
60 1
 
4.8%
57 1
 
4.8%

Interactions

2023-12-12T09:37:49.387951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:48.952700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:49.489440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:37:49.308058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:37:51.156710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구별수행기관사회복지사생활지원사
구별1.0001.0000.2920.820
수행기관1.0001.0001.0001.000
사회복지사0.2921.0001.0000.889
생활지원사0.8201.0000.8891.000
2023-12-12T09:37:51.262858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회복지사생활지원사구별
사회복지사1.0000.8970.049
생활지원사0.8971.0000.500
구별0.0490.5001.000

Missing values

2023-12-12T09:37:49.604828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:37:49.685822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

구별수행기관사회복지사생활지원사
0광역기관대전광역시사회서비스원30
1동구정다운어르신복지관665
2동구행복한어르신복지관465
3동구선우노인복지센터460
4동구금성노인복지센터465
5중구이웃사랑재가노인지원서비스센터357
6중구대전시노인복지관773
7중구대전노인복지센터463
8중구한빛재가노인복지센터464
9서구유등노인복지관780
구별수행기관사회복지사생활지원사
11서구서구노인복지관 재가노인지원센터666
12서구서구종합재가센터349
13서구노인전문요양원 해피존116
14서구관저종합사회복지관225
15서구실버누리요양원114
16유성구유성노인복지센터233
17유성구유성구노인복지관432
18대덕구대덕구노인종합복지관898
19대덕구법동종합사회복지관579
20대덕구대덕종합사회복지관340